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주현석(Hyun Seok Joo),김국진(Kuk Jin Kim),한진현(Jin Hyun Han),김영택(Young Taeg Kim) 전남대학교 수산과학연구소 2020 수산과학연구소논문집 Vol.28 No.2
In the framework of “The Comprehensive Data Analysis for Areas under the National Jurisdiction” Project, the Korea Hydrographic and Oceanographic Agency first checks data for missing or wrong values, then provides the data to the public. For stationary observation points, removing wrong or missing values entails temporal discontinuity which may not be best restored with interpolation. Manual correction is time-consuming and the decision criteria may differ among employees. The less is the quality of the data, the more specialists are to be involved, and the less objective are the models’ outcomes that use the data as an input. The focus of the current study is to overcome this by a temporal and spatial interpolation of marine data using neural networks. The experiments were done in two cases: an interpolation based on the single observation point data, and an interpolation based on the neighborhood observation points’ data. Then, each case was further subdivided into an interpolation based on six and twelve-hours time horizons. This is because, the variation in data is not large for the data within an hour timeframe, so simple nearest interpolation or linear interpolation models are sufficient. On the basis of this, the feasibility of interpolation of missing marine data was verified.
조창제(Chang Je Cho),곽경일(Gyeong Il Kwak),주현석(Hyun Seok Joo),김국진(Kuk Jin Kim) 전남대학교 수산과학연구소 2021 수산과학연구소논문집 Vol.30 No.1
Natural disasters are increasing due to recent climate change. Rainfall directly or indirectly affects aquaculture and agriculture. Therefore, it is important to anticipate and prepare for this. In this study, a study on the performance comparison between spatial interpolation techniques was conducted based on observed data, and predicted based on the data produced by the spatial interpolation techniques. The spatial interpolation methods compared the inverse distance weighting method, kriging and spatial random forest through MAE (Mean absolute error), RMSE (Root mean square error), correlation coefficient. The verification of predicted data was compared through MAE, CSI (Critical Success Index), FAR (False Alarm Ratio), POD (Probability of Detection) and ETS (Equitable Threat Score).
Preparation and Properties of EPDM/Zinc Methacrylate Hybrid Composites
Won, Jong-Hoon,Joo, Hyun-Seok,Chang, Young-Wook 한국고무학회 2005 엘라스토머 및 콤포지트 Vol.40 No.1
메타크릴산의 아연염인 ZMA를 EPDM고무와 직접 블렌딩하거나 또는 ZnO와 MAA의 형태로 첨가한 후 이들간의 중화반응을 유도하여 고무에 in-situ로 형성시키는 방법을 이용하여EPDM/ZMA 복합체를 제조하였다. 인장시험, 인열시험, 열노화시험 결과 ZMA의 첨가는 EPDM의 기계적 물성 및 열노화에 대한 안정성을 현저히 향상시킬 수 있음을 알 수 있었다 또한, ZMA의 첨가는 EPDM고무와 금속과의 접착력을 크게 향상시킬 수 있음을 알 수 있었다. 이러한 기계적물성 및 접착물성의 향상효과는 과량의 ZnO를 사용한 중화반응에 의해 ZMA를 형성시킨 복합체에서 더욱 크게 나타났다. 이는 ZMA의 도입에 의한 이온가교결합의 형성 및 고무매트릭스에서의 ZMA 도메인의 분산도와 연관되는 것으로 판단되었다. Zinc methacrylate(ZMA) was incorporated into ethylene-propylene diene rubber(EPDM) by direct mixing of the metal salt with the rubber or was in-situ prepared in the rubber matrix through neutralization reaction of zinc oxide(ZnO) and methacrylic acid(MAA). Tensile and tear tests showed that ZMA had a great reinforcing effect for the EPDM. It was also found that ZMX reinforced EPDM vulcanizates can retain their mechanical properties under thermo-oxidative aging. Moreover, the incorporation of ZMA induces a substantial improvement in the adhesive strength of the EPDM onto aluminum substrate. The reinforcing effect and an enhancement in adhesion was greatly manifested when the ZMA is in-situ formed with an excess amount of ZnO. The extraordinary improvement in the properties is supposed to be related with the formation of ionic crosslink as well as the degree of dispersion of ZMA domain in the rubber matrix.